Interconnected Automation Systems (IAS)
At the Chair of Interconnected Automation Systems (IAS) at the University of Siegen, we drive basic and applied research on design automation of software and hardware to improve the reliability, efficiency and sustainability of modern cyber-physical infrastructures - from industrial and mechatronic systems to energy conversion applications and electrical power systems.
Mission statement
We conduct rigorous, open and responsible research on interconnected automation systems and translate sound modeling, control and data-driven methods into trustworthy technologies that increase safety and reliability, reduce energy plus resource consumption and strengthen resilient infrastructures for the benefit of society. In teaching, we qualify engineers and researchers to combine a physical-analytical understanding of systems with computer-aided and data-oriented tools so that they can actively shape future generations of automation and energy systems.
Chair's head
Research profile
We research networked cyber-physical systems in industrial automation and mechatronics as well as in electrified energy technologies. Central fields of application are electric drives, power electronic converters, energy storage systems and charging infrastructures as well as networked electrical energy systems such as microgrids - with the aim of enabling more reliable, efficient and resilient operation under real operating conditions.
Our work covers the entire innovation chain from basic research to industrial transfer. A particular focus is on translating theoretical concepts into practical proof-of-concepts, supported by rapid software and hardware prototyping. Experimental validation, including targeted measurement campaigns on relevant test benches, is an integral part of our research process.
Open science is a cornerstone of our research practice. We publish open source software, reproducible workflows and other open resources to enable transparent evaluation, benchmarking and rapid knowledge transfer for students, researchers and industry partners. Our open source contributions can be found on GitHub: https://github.com/IAS-Uni-Siegen
Focus areas
- Optimal control methods (e.g., reinforcement learning, differential predictive control)
- Hardware design, optimization and testing of power electronic converters (component and system level)
- Hybrid modeling and system identification (combination of expert and data knowledge)
- Condition monitoring, diagnostics and digital twins (e.g. using fault and anomaly detection)
- State and parameter estimation (observer, co-estimator)
- Software-driven automation (reproducible design toolchains, verification and benchmarking)
Latest publications
Differentiable Model Predictive Excitation: Generating Optimal Data Sets for Learning of Dynamical System Models
Differentiable Model Predictive Excitation: Generating Optimal Data Sets for Learning of Dynamical System Models
PV2Heat to Mongolia: Transitioning from Coal to Solar-Powered Resistive Heating with Thermal Storage to Improve Air Quality
PV2Heat to Mongolia: Transitioning from Coal to Solar-Powered Resistive Heating with Thermal Storage to Improve Air Quality
Design of a Current Control System for Generating Various Current Forms
Design of a Current Control System for Generating Various Current Forms
Pre-Processing Measurement Data for Computing Internal DC Resistance with Anomaly Detection Techniques
Pre-Processing Measurement Data for Computing Internal DC Resistance with Anomaly Detection Techniques
The Impact of Relaxation Time on Cell Degradation across the Life Cycle under diverse operating temperatures
The Impact of Relaxation Time on Cell Degradation across the Life Cycle under diverse operating temperatures
Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives
Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives
Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives
Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives
Design and Development of AC Impedance Measurement Test Circuit for Lithium-ion Cells
Design and Development of AC Impedance Measurement Test Circuit for Lithium-ion Cells
Investigating Temperature Variations in AC Impedance with an Indigenously Developed EIS Test-Bed
Investigating Temperature Variations in AC Impedance with an Indigenously Developed EIS Test-Bed
Review and Selection of Bidirectional DC-DC Power Converter for Green Energy Systems
Review and Selection of Bidirectional DC-DC Power Converter for Green Energy Systems
ElectricGrid.jl – Automated modeling of decentralized electrical energy grids
ElectricGrid.jl – Automated modeling of decentralized electrical energy grids
Comparison and Selection of Topology for Three Phase PV Inverters based on Power GaN Devices
Comparison and Selection of Topology for Three Phase PV Inverters based on Power GaN Devices
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Opening hours secretariat
Opening hours
Postal address
University of Siegen
Chair of Interconnected Automation Systems (IAS)
Hölderlinstraße 3
57076 Siegen
Visitor address
University of Siegen
Chair of Interconnected Automation Systems (IAS)
H-A Level 4
Room: H-A 4106/3
Hölderlinstraße 3
57076 Siegen
Secretariat
Secretary: Lada Lübke
Phone: +49 (0)271 / 740-3305
Fax: +49 (0)271 / 740-13305
Room: H-A 4106/3
E-Mail: IAS-office@eti.uni-siegen.de